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Robert S Averback

Researcher at University of Illinois at Urbana–Champaign

Publications -  392
Citations -  16124

Robert S Averback is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Ion & Irradiation. The author has an hindex of 61, co-authored 388 publications receiving 15047 citations. Previous affiliations of Robert S Averback include University at Albany, SUNY & Urbana University.

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Molecular dynamics simulation of intragranular Xe bubble re-solution in UO2

TL;DR: In this article, the authors investigated the homogeneous re-solution of Xe fission gas bubbles in UO 2 by combined Monte Carlo and molecular dynamics simulations using a binary collision model, based on the Ziegler-Littmark-Biersack potential.
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Microstructural evolution of nanolayered Cu–Nb composites subjected to high-pressure torsion

TL;DR: In this paper, the effect of severe plastic deformation and strain path on microstructure and texture stability in highly immiscible alloy systems is discussed in the context of the impact of high pressure torsion at room temperature.
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Diffuse X-ray scattering studies of neutron- and electron-irradiated Ni, Cu and dilute alloys

TL;DR: In this article, the authors studied the evolution of defect structures using diffuse X-ray scattering methods and showed that large interstitial and vacancy dislocation loops developed on annealing for pure Ni and Cu, as well as dilute NiSi0.01 and NiGe0.001 alloys.
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Limits of hardness at the nanoscale: Molecular dynamics simulations

TL;DR: In this article, a simple model that illustrates that the increased hardening is a consequence of grain-boundary relaxation is proposed, which suppresses grainboundary sliding and forces the material to deform by dislocation glide.
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Phase evolution during ion-beam mixing of Ag-Cu

TL;DR: In this paper, an ion-influenced mixing of the immiscible Ag-Cu alloy system was investigated using 1.0 MeV Kr ion irradiation at temperatures ranging from 80 to 473 K. The experimental results were explained using a diffusion model based on a competition between cascade mixing and thermally activated demixing.